Tsendsuren Munkhdalai

Title: Innovations of Tsendsuren Munkhdalai

Introduction

Tsendsuren Munkhdalai is an accomplished inventor based in Mountain View, CA (US). He is known for his contributions to the field of automatic speech recognition (ASR). His innovative work has led to the development of a unique patent that enhances the accuracy of speech recognition systems.

Latest Patents

Munkhdalai holds a patent titled "Context-aware neural confidence estimation for rare word speech recognition." This patent describes an ASR system that integrates an ASR model, a neural associative memory (NAM) biasing model, and a confidence estimation model (CEM). The ASR model includes an audio encoder that encodes a sequence of audio frames into higher-order feature representations. It also features a decoder that processes these representations to produce a final speech recognition result. The NAM biasing model modifies the higher-order feature representations based on contextual information, generating biasing context vectors. The CEM computes the confidence of the final speech recognition result, utilizing the biasing context vectors from the NAM model. Munkhdalai's innovative approach significantly improves the reliability of speech recognition systems, particularly for rare words.

Career Highlights

Tsendsuren Munkhdalai is currently employed at Google Inc., where he continues to push the boundaries of technology in speech recognition. His work at Google has allowed him to collaborate with leading experts in the field, further enhancing his contributions to innovation.

Collaborations

One of his notable collaborators is Yanzhang He, with whom he has worked on various projects related to speech recognition technology.

Conclusion

Tsendsuren Munkhdalai's innovative contributions to automatic speech recognition demonstrate his expertise and commitment to advancing technology. His patent reflects a significant step forward in improving the accuracy and reliability of speech recognition systems.